ProjectOPTIMA
Cutting cyberattack success rates by nearly a quarter with smarter tools
Organization Specific Threat Intelligence Mining and Sharing (OPTIMA)
Digital risks like cyberattacks and privacy breaches are growing. To stay safe, governments and businesses must improve their defences. The EU-funded OPTIMA project used advanced tools, including AI and blockchain, to detect threats faster and prevent future attacks.
Project impact
The era of digitalisation has brought new risks such as cyberattacks and privacy breaches. Organisations need real-time threat analysis with smarter tools. By using artificial intelligence, tamper-proof record-keeping techniques and cyber threat intelligence mechanisms, Dr. Vinod Puthuvath, the researcher leading the OPTIMA project, helped industries and governments build safer digital environments. As malicious software attacks are increasingly sophisticated, OPTIMA used deep learning to detect and classify them more accurately. A tool called the Organization-Specific Threat Intelligence System (OSTIS) was used to scan security blogs to gather information. A deep learning programme then analysed this data to assess attack patterns and threat actors. During tests and simulations, the tool reduced the cyberattack success rate by 22.8 % and spotted hidden malicious software with a 99.97 % accuracy, meaning it effectively detected and countered evolving threats. Because the system design is modular, it can integrate into existing IT infrastructure. This makes it useful in a variety of contexts: from governments to industries such as finance and healthcare.
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Coordinator
Italy
Universita degli Studi di Padova
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Participating and partners countries
- Italy
- Universita degli Studi del Sannio
- Universita degli Studi di Pavia
- Italy